Matches in SemOpenAlex for { <https://semopenalex.org/work/W2897946873> ?p ?o ?g. }
Showing items 1 to 56 of
56
with 100 items per page.
- W2897946873 endingPage "489" @default.
- W2897946873 startingPage "480" @default.
- W2897946873 abstract "The tools to tamper with digital photographs have become easier to use by the lay person and techniques have evolved that make detection of tampering more difficult, there is a clear need to not only discover novel ways to distinguish the difference between real and fake, but also to make the detection quicker and easier. Using content-aware resizing, which is also known as image retargeting, seam carving, content-aware rescaling, liquid rescaling, or liquid resizing, allows for changing the resolution of an image while keeping the content unchanged in the image. In this paper, the retraining of Inception ResNet v2, one of the best object detection deep learning classifiers, is undertaken to look at classifications of untampered versus tampered photos via seam removal." @default.
- W2897946873 created "2018-10-26" @default.
- W2897946873 creator A5000778737 @default.
- W2897946873 creator A5035943591 @default.
- W2897946873 date "2018-01-01" @default.
- W2897946873 modified "2023-10-06" @default.
- W2897946873 title "Detecting Digital Photo Tampering with Deep Learning" @default.
- W2897946873 cites W1495020562 @default.
- W2897946873 cites W2097117768 @default.
- W2897946873 cites W2111374353 @default.
- W2897946873 cites W2118090703 @default.
- W2897946873 cites W2142694135 @default.
- W2897946873 cites W2155319953 @default.
- W2897946873 cites W2183341477 @default.
- W2897946873 cites W2194775991 @default.
- W2897946873 cites W2512148493 @default.
- W2897946873 cites W2561315210 @default.
- W2897946873 cites W2738089147 @default.
- W2897946873 cites W2963777235 @default.
- W2897946873 cites W2964350391 @default.
- W2897946873 cites W4248419311 @default.
- W2897946873 doi "https://doi.org/10.1007/978-3-030-00557-3_47" @default.
- W2897946873 hasPublicationYear "2018" @default.
- W2897946873 type Work @default.
- W2897946873 sameAs 2897946873 @default.
- W2897946873 citedByCount "0" @default.
- W2897946873 crossrefType "book-chapter" @default.
- W2897946873 hasAuthorship W2897946873A5000778737 @default.
- W2897946873 hasAuthorship W2897946873A5035943591 @default.
- W2897946873 hasConcept C108583219 @default.
- W2897946873 hasConcept C142362112 @default.
- W2897946873 hasConcept C154945302 @default.
- W2897946873 hasConcept C41008148 @default.
- W2897946873 hasConceptScore W2897946873C108583219 @default.
- W2897946873 hasConceptScore W2897946873C142362112 @default.
- W2897946873 hasConceptScore W2897946873C154945302 @default.
- W2897946873 hasConceptScore W2897946873C41008148 @default.
- W2897946873 hasLocation W28979468731 @default.
- W2897946873 hasOpenAccess W2897946873 @default.
- W2897946873 hasPrimaryLocation W28979468731 @default.
- W2897946873 hasRelatedWork W2126887587 @default.
- W2897946873 hasRelatedWork W2731899572 @default.
- W2897946873 hasRelatedWork W2748952813 @default.
- W2897946873 hasRelatedWork W2899084033 @default.
- W2897946873 hasRelatedWork W2939353110 @default.
- W2897946873 hasRelatedWork W2941846814 @default.
- W2897946873 hasRelatedWork W2948658236 @default.
- W2897946873 hasRelatedWork W3009238340 @default.
- W2897946873 hasRelatedWork W3215138031 @default.
- W2897946873 hasRelatedWork W4230611425 @default.
- W2897946873 isParatext "false" @default.
- W2897946873 isRetracted "false" @default.
- W2897946873 magId "2897946873" @default.
- W2897946873 workType "book-chapter" @default.